A neural network approach for compressive strength prediction in cement-based materials through the study of pressure-stimulated electrical signals

Construction and Building Materials

Volumn 30, Issue , 2012, Pages 294-300

  Alexandridis, Alex ^a   Triantis, Dimos ^a   Stavrakas, Ilias ^a   Stergiopoulos, Charalampos ^a,b  

^a UNIVERSITY OF WEST ATTICA   (Greece)

^b BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Cement; Compressive strength; Fuzzy means; Micro cracks; Neural networks; Non destructive testing; Pressure stimulated currents; Radial Basis Function

Indexed keywords

CEMENT BASED MATERIAL; CEMENT MORTARS; ELECTRICAL SIGNAL; FUZZY MEANS; MECHANICAL STRESS; NON DESTRUCTIVE TESTING; NONDESTRUCTIVE METHODS; PREDICTIVE ABILITIES; RADIAL BASIS FUNCTIONS; SIGNAL CHARACTERISTIC; TRAINING ALGORITHMS; ULTIMATE COMPRESSIVE STRENGTH; WEAK ELECTRICAL SIGNAL;

CEMENTS; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; RADIAL BASIS FUNCTION NETWORKS; STRESSES;

COMPRESSIVE STRENGTH;

EID: 84855172966     PISSN: 09500618     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conbuildmat.2011.11.036     Document Type: Article

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